Machine Learning and EconomicsMachine learning is primarily oriented toward prediction, whereas much of economics is concerned with causality and equilibrium. While the two disciplines have a shared interest in forecasting, they...doi:10.1007/978-1-4842-6373-0_2Hull, Isaiah...
Support Vector Machines（支持向量机）和 Deep Learning（深度学习）等技术可以更加有效率地处理复杂关系。
California, and Emeritus Professor of Economics, University of California, Berkeley, California.不...
23rd International Conference on Machine Learning 353–360 (ACM, 2006). 94. Biggio, B. et al. Evasion attacks against machine learning at test time. In Proc. Joint European Conference on Machine Learning and Knowledge Discovery in Databases 387–402 (Springer, 2013). 95. Tramèr, F. et al...
This paper provides an assessment of the early contributions of machine learning to economics, as well as predictions about its future contributions. It begins by briefly overviewing some themes from the literature on machine learning, and then draws some contrasts with traditional approaches to estima...
So applying machine learning to economics requires finding relevant tasks. Machine learning algorithms are now technically easy to use: you can download convenient packages in R or Python. This also raises the risk that the algorithms are applied naively or their output is misinterpreted. We hope ...
先交代一下FOMC会议记录的重要性：FOMC 是全球经济中有重大影响力的经济参与者之一，每年定期举行八次...
doi:10.2139/ssrn.3012602DSGEAsset PricingDynamic ProgrammingMachine LearningThis paper proposes a global algorithm to solve a large class of nonlinear continuous-time models in finance and economics. Using tools from machine learning, ISocial Science Electronic Publishing...
柯滨教授先后在The Accounting Review、Journal of Accounting and Economics、Journal of Accounting Research、Review of Accounting Studies和Contemporary Accounting Research上发表多篇学术论文。柯滨教授擅长从经济学的角度研究会计信息的生成与运用过...
Together, they cover the connection between causal machine learning and economics research, the motivations of buyers and sellers on e-commerce platforms, and how ad targeting and data practices could evolve to foster a more symbiotic relationship between...